Inert and Reacting Transport View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2005

AUTHORS

M. Cencini , D. Vergni , A. Vulpiani

ABSTRACT

Some aspects of passive transport in fluid flows are reviewed. Two classes of problems are considered: inert substances advected by fluid flows, and substances that chemically (or biologically) react while are advected. Concerning the former issue, we discuss it in the Lagrangian framework. In particular, we address the problem of anomalous diffusion in the asymptotic single particle motion, and we introduce a scale dependent description of the particles pair separation evolution. The Lagrangian description is very useful to characterize the non asymptotic properties of transport that often are interesting ones. For the problem of reacting transport we study the dependence of the front speed on the flow characteristics, considering the case of reaction that are slow or fast with respect to the typical time scales of the advection. Moreover, we comment about the role of Lagrangian chaos on the propagation properties. More... »

PAGES

365-399

References to SciGraph publications

Book

TITLE

Chaotic Dynamics and Transport in Classical and Quantum Systems

ISBN

1-4020-2945-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/1-4020-2947-0_17

DOI

http://dx.doi.org/10.1007/1-4020-2947-0_17

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1031047537


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0915", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Interdisciplinary Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Dipartimento di Fisica, Universit\u00e0 di Roma \u201dla Sapienza\u201d and Center for Statistical Mechanics and Complexity INFM UdR Roma1, Piazzale Aldo Moro 5, I-00185\u00a0Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cencini", 
        "givenName": "M.", 
        "id": "sg:person.01324336365.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324336365.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Research Council", 
          "id": "https://www.grid.ac/institutes/grid.5326.2", 
          "name": [
            "Istituto Applicazioni del Calcolo, CNR, Viale del Policlinico 137, I-00161\u00a0Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vergni", 
        "givenName": "D.", 
        "id": "sg:person.01304146426.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304146426.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapienza University of Rome", 
          "id": "https://www.grid.ac/institutes/grid.7841.a", 
          "name": [
            "Dipartimento di Fisica, Universit\u00e0 di Roma \u201dla Sapienza\u201d and Center for Statistical Mechanics and Complexity INFM UdR Roma1, Piazzale Aldo Moro 5, I-00185\u00a0Roma, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vulpiani", 
        "givenName": "A.", 
        "id": "sg:person.01352261626.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352261626.07"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0370-1573(90)90099-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001884293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0370-1573(90)90099-n", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001884293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002050000090", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003964368", 
          "https://doi.org/10.1007/s002050000090"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.64.046307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004182852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.64.046307", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004182852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1541668", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012635067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0370-1573(01)00025-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017475994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0010-2180(95)00240-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020409617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.868651", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022548795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.166475", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022924259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026458652", 
          "https://doi.org/10.1038/35361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026458652", 
          "https://doi.org/10.1038/35361"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1364-7830/7/3/303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026484396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/revmodphys.73.913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026773949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/revmodphys.73.913", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026773949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/1364-7830/5/3/303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028457936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/epl/i1999-00530-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028581387"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.88.094501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032412676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.88.094501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032412676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/1352-2310(95)00406-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036884511"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0370-1573(98)00083-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037715182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1209/epl/i1999-00242-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045306128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0034-4885/46/5/002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049765215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.80.5532", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050186255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.80.5532", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050186255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1585030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057722996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1692385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057764168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.1726734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057793277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.868452", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058120633"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.869433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058121591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.37.2728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060477310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.37.2728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060477310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.38.6280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060478516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.38.6280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060478516"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.48.1683", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060715622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.48.1683", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060715622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.52.3249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060718415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.52.3249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060718415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.58.1100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060794661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.58.1100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060794661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.64.2503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060800601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.64.2503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060800601"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/s0036144599364296", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062878029"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005", 
    "datePublishedReg": "2005-01-01", 
    "description": "Some aspects of passive transport in fluid flows are reviewed. Two classes of problems are considered: inert substances advected by fluid flows, and substances that chemically (or biologically) react while are advected. Concerning the former issue, we discuss it in the Lagrangian framework. In particular, we address the problem of anomalous diffusion in the asymptotic single particle motion, and we introduce a scale dependent description of the particles pair separation evolution. The Lagrangian description is very useful to characterize the non asymptotic properties of transport that often are interesting ones. For the problem of reacting transport we study the dependence of the front speed on the flow characteristics, considering the case of reaction that are slow or fast with respect to the typical time scales of the advection. Moreover, we comment about the role of Lagrangian chaos on the propagation properties.", 
    "editor": [
      {
        "familyName": "Collet", 
        "givenName": "P.", 
        "type": "Person"
      }, 
      {
        "familyName": "Courbage", 
        "givenName": "M.", 
        "type": "Person"
      }, 
      {
        "familyName": "M\u00e9tens", 
        "givenName": "S.", 
        "type": "Person"
      }, 
      {
        "familyName": "Neishtadt", 
        "givenName": "A.", 
        "type": "Person"
      }, 
      {
        "familyName": "Zaslavsky", 
        "givenName": "G.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/1-4020-2947-0_17", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "1-4020-2945-4"
      ], 
      "name": "Chaotic Dynamics and Transport in Classical and Quantum Systems", 
      "type": "Book"
    }, 
    "name": "Inert and Reacting Transport", 
    "pagination": "365-399", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/1-4020-2947-0_17"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "93e8b7d3c1f74d066542d0d7ca324b2869a3b694a1b07e992c852eb4eebc284d"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1031047537"
        ]
      }
    ], 
    "publisher": {
      "location": "Dordrecht", 
      "name": "Kluwer Academic Publishers", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/1-4020-2947-0_17", 
      "https://app.dimensions.ai/details/publication/pub.1031047537"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T15:21", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000262.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/1-4020-2947-0_17"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/1-4020-2947-0_17'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/1-4020-2947-0_17'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/1-4020-2947-0_17'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/1-4020-2947-0_17'


 

This table displays all metadata directly associated to this object as RDF triples.

196 TRIPLES      23 PREDICATES      58 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/1-4020-2947-0_17 schema:about anzsrc-for:09
2 anzsrc-for:0915
3 schema:author N9c9c1874670e495b8521cb1ec9be4564
4 schema:citation sg:pub.10.1007/s002050000090
5 sg:pub.10.1038/35361
6 https://doi.org/10.1016/0010-2180(95)00240-5
7 https://doi.org/10.1016/0370-1573(90)90099-n
8 https://doi.org/10.1016/1352-2310(95)00406-8
9 https://doi.org/10.1016/s0370-1573(01)00025-4
10 https://doi.org/10.1016/s0370-1573(98)00083-0
11 https://doi.org/10.1063/1.1541668
12 https://doi.org/10.1063/1.1585030
13 https://doi.org/10.1063/1.166475
14 https://doi.org/10.1063/1.1692385
15 https://doi.org/10.1063/1.1726734
16 https://doi.org/10.1063/1.868452
17 https://doi.org/10.1063/1.868651
18 https://doi.org/10.1063/1.869433
19 https://doi.org/10.1088/0034-4885/46/5/002
20 https://doi.org/10.1088/1364-7830/5/3/303
21 https://doi.org/10.1088/1364-7830/7/3/303
22 https://doi.org/10.1103/physreva.37.2728
23 https://doi.org/10.1103/physreva.38.6280
24 https://doi.org/10.1103/physreve.48.1683
25 https://doi.org/10.1103/physreve.52.3249
26 https://doi.org/10.1103/physreve.64.046307
27 https://doi.org/10.1103/physrevlett.58.1100
28 https://doi.org/10.1103/physrevlett.64.2503
29 https://doi.org/10.1103/physrevlett.80.5532
30 https://doi.org/10.1103/physrevlett.88.094501
31 https://doi.org/10.1103/revmodphys.73.913
32 https://doi.org/10.1137/s0036144599364296
33 https://doi.org/10.1209/epl/i1999-00242-8
34 https://doi.org/10.1209/epl/i1999-00530-3
35 schema:datePublished 2005
36 schema:datePublishedReg 2005-01-01
37 schema:description Some aspects of passive transport in fluid flows are reviewed. Two classes of problems are considered: inert substances advected by fluid flows, and substances that chemically (or biologically) react while are advected. Concerning the former issue, we discuss it in the Lagrangian framework. In particular, we address the problem of anomalous diffusion in the asymptotic single particle motion, and we introduce a scale dependent description of the particles pair separation evolution. The Lagrangian description is very useful to characterize the non asymptotic properties of transport that often are interesting ones. For the problem of reacting transport we study the dependence of the front speed on the flow characteristics, considering the case of reaction that are slow or fast with respect to the typical time scales of the advection. Moreover, we comment about the role of Lagrangian chaos on the propagation properties.
38 schema:editor Nf4e193b249194c6283f384cd59d988af
39 schema:genre chapter
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N970711868d204eee949ef5b296a84624
43 schema:name Inert and Reacting Transport
44 schema:pagination 365-399
45 schema:productId N5966a6cc41bd4719909bb32c14b32886
46 N6b65425c32054692a89ba0c8ceadd6ff
47 Ne1caace9de55465d85c5d5a11dab23ee
48 schema:publisher Nf20e6ff3b43f435bba43cf1a758d39fb
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031047537
50 https://doi.org/10.1007/1-4020-2947-0_17
51 schema:sdDatePublished 2019-04-15T15:21
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N5c1f0d8cc79b46179c4c1917d3d67704
54 schema:url http://link.springer.com/10.1007/1-4020-2947-0_17
55 sgo:license sg:explorer/license/
56 sgo:sdDataset chapters
57 rdf:type schema:Chapter
58 N0a7ff101ad3041f5a0e97161a7b4eaf8 rdf:first N8cfce6b3d7b442799fbaaafb67fbe975
59 rdf:rest N0f5ead77dece4212a7515f2194d1f1e3
60 N0f5ead77dece4212a7515f2194d1f1e3 rdf:first N98160fe53bb74c33a25aa27cd8bd5e97
61 rdf:rest Nec25a2dd309b4a2c96fb1d8983e37bc3
62 N2759630895794316848ad23f502ecaf7 schema:familyName Courbage
63 schema:givenName M.
64 rdf:type schema:Person
65 N35defda3781847f083f4ac73be3fdeb2 schema:familyName Collet
66 schema:givenName P.
67 rdf:type schema:Person
68 N3da96aebc4754371a5b02dc206467022 rdf:first sg:person.01304146426.20
69 rdf:rest N60b733c73abc4aff8106b3d0c72f3bef
70 N5966a6cc41bd4719909bb32c14b32886 schema:name doi
71 schema:value 10.1007/1-4020-2947-0_17
72 rdf:type schema:PropertyValue
73 N5c1f0d8cc79b46179c4c1917d3d67704 schema:name Springer Nature - SN SciGraph project
74 rdf:type schema:Organization
75 N60b733c73abc4aff8106b3d0c72f3bef rdf:first sg:person.01352261626.07
76 rdf:rest rdf:nil
77 N6b65425c32054692a89ba0c8ceadd6ff schema:name readcube_id
78 schema:value 93e8b7d3c1f74d066542d0d7ca324b2869a3b694a1b07e992c852eb4eebc284d
79 rdf:type schema:PropertyValue
80 N8cfce6b3d7b442799fbaaafb67fbe975 schema:familyName Métens
81 schema:givenName S.
82 rdf:type schema:Person
83 N970711868d204eee949ef5b296a84624 schema:isbn 1-4020-2945-4
84 schema:name Chaotic Dynamics and Transport in Classical and Quantum Systems
85 rdf:type schema:Book
86 N98160fe53bb74c33a25aa27cd8bd5e97 schema:familyName Neishtadt
87 schema:givenName A.
88 rdf:type schema:Person
89 N9c9c1874670e495b8521cb1ec9be4564 rdf:first sg:person.01324336365.15
90 rdf:rest N3da96aebc4754371a5b02dc206467022
91 Nd1cb1fae55fa4a5da3c6298b4f17b998 schema:familyName Zaslavsky
92 schema:givenName G.
93 rdf:type schema:Person
94 Ndf7917f8293e488284b885f4f150efca rdf:first N2759630895794316848ad23f502ecaf7
95 rdf:rest N0a7ff101ad3041f5a0e97161a7b4eaf8
96 Ne1caace9de55465d85c5d5a11dab23ee schema:name dimensions_id
97 schema:value pub.1031047537
98 rdf:type schema:PropertyValue
99 Nec25a2dd309b4a2c96fb1d8983e37bc3 rdf:first Nd1cb1fae55fa4a5da3c6298b4f17b998
100 rdf:rest rdf:nil
101 Nf20e6ff3b43f435bba43cf1a758d39fb schema:location Dordrecht
102 schema:name Kluwer Academic Publishers
103 rdf:type schema:Organisation
104 Nf4e193b249194c6283f384cd59d988af rdf:first N35defda3781847f083f4ac73be3fdeb2
105 rdf:rest Ndf7917f8293e488284b885f4f150efca
106 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
107 schema:name Engineering
108 rdf:type schema:DefinedTerm
109 anzsrc-for:0915 schema:inDefinedTermSet anzsrc-for:
110 schema:name Interdisciplinary Engineering
111 rdf:type schema:DefinedTerm
112 sg:person.01304146426.20 schema:affiliation https://www.grid.ac/institutes/grid.5326.2
113 schema:familyName Vergni
114 schema:givenName D.
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304146426.20
116 rdf:type schema:Person
117 sg:person.01324336365.15 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
118 schema:familyName Cencini
119 schema:givenName M.
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01324336365.15
121 rdf:type schema:Person
122 sg:person.01352261626.07 schema:affiliation https://www.grid.ac/institutes/grid.7841.a
123 schema:familyName Vulpiani
124 schema:givenName A.
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01352261626.07
126 rdf:type schema:Person
127 sg:pub.10.1007/s002050000090 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003964368
128 https://doi.org/10.1007/s002050000090
129 rdf:type schema:CreativeWork
130 sg:pub.10.1038/35361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026458652
131 https://doi.org/10.1038/35361
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1016/0010-2180(95)00240-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020409617
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1016/0370-1573(90)90099-n schema:sameAs https://app.dimensions.ai/details/publication/pub.1001884293
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1016/1352-2310(95)00406-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036884511
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/s0370-1573(01)00025-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017475994
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/s0370-1573(98)00083-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037715182
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1063/1.1541668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012635067
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1063/1.1585030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057722996
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1063/1.166475 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022924259
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1063/1.1692385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057764168
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1063/1.1726734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057793277
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1063/1.868452 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058120633
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1063/1.868651 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022548795
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1063/1.869433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058121591
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1088/0034-4885/46/5/002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049765215
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1088/1364-7830/5/3/303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028457936
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1088/1364-7830/7/3/303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026484396
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1103/physreva.37.2728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060477310
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1103/physreva.38.6280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060478516
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1103/physreve.48.1683 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060715622
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1103/physreve.52.3249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060718415
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1103/physreve.64.046307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004182852
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1103/physrevlett.58.1100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060794661
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1103/physrevlett.64.2503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060800601
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1103/physrevlett.80.5532 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050186255
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1103/physrevlett.88.094501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032412676
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1103/revmodphys.73.913 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026773949
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1137/s0036144599364296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062878029
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1209/epl/i1999-00242-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045306128
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1209/epl/i1999-00530-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028581387
190 rdf:type schema:CreativeWork
191 https://www.grid.ac/institutes/grid.5326.2 schema:alternateName National Research Council
192 schema:name Istituto Applicazioni del Calcolo, CNR, Viale del Policlinico 137, I-00161 Roma, Italy
193 rdf:type schema:Organization
194 https://www.grid.ac/institutes/grid.7841.a schema:alternateName Sapienza University of Rome
195 schema:name Dipartimento di Fisica, Università di Roma ”la Sapienza” and Center for Statistical Mechanics and Complexity INFM UdR Roma1, Piazzale Aldo Moro 5, I-00185 Roma, Italy
196 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...